Patents by Inventor Dmytro Rudenko

Dmytro Rudenko has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • TECHNIQUES FOR GENERATING A STYLIZED MEDIA CONTENT ITEM WITH A GENERATIVE NEURAL NETWORK
    Publication number: 20260162338
    Abstract: A mobile application with an improved user interface facilitates generating stylized media content items including images and videos. An end-user selects a desired visual effect from a set of options. The mobile application captures or accesses an image. The image is processed on a server using a generative neural network pre-trained to apply stylizations based on the selected effect. The server sends back the stylized image to the mobile application for display. The end-user can then save the stylized image or generate a video (e.g., an animation) showing the original image transition to the stylized image. The user interface provides an efficient creative workflow to apply aesthetic enhancements in a visual style chosen by the end-user. Generative machine learning techniques automate stylization to enable accessible media customization and sharing.
    Type: Application
    Filed: January 27, 2026
    Publication date: June 11, 2026
    Inventors: Sergey Smetanin, Pavel Savchenkov, Viktar Atliha, Georgii Grigorev, Ivan Babanin, Prasad Tare, Inna Zaitseva, Anna Kovalenko, Dmytro Rudenko
  • Techniques for generating a stylized media content item with a generative neural network
    Patent number: 12567187
    Abstract: A mobile application with an improved user interface facilitates generating stylized media content items including images and videos. An end-user selects a desired visual effect from a set of options. The mobile application captures or accesses an image. The image is processed on a server using a generative neural network pre-trained to apply stylizations based on the selected effect. The server sends back the stylized image to the mobile application for display. The end-user can then save the stylized image or generate a video (e.g., an animation) showing the original image transition to the stylized image. The user interface provides an efficient creative workflow to apply aesthetic enhancements in a visual style chosen by the end-user. Generative machine learning techniques automate stylization to enable accessible media customization and sharing.
    Type: Grant
    Filed: November 9, 2023
    Date of Patent: March 3, 2026
    Assignee: Snap Inc.
    Inventors: Sergey Smetanin, Pavel Savchenkov, Viktar Atliha, Georgii Grigorev, Ivan Babanin, Prasad Tare, Inna Zaitseva, Anna Kovalenko, Dmytro Rudenko
  • TECHNIQUES FOR GENERATING A STYLIZED MEDIA CONTENT ITEM WITH A GENERATIVE NEURAL NETWORK
    Publication number: 20240412433
    Abstract: A mobile application with an improved user interface facilitates generating stylized media content items including images and videos. An end-user selects a desired visual effect from a set of options. The mobile application captures or accesses an image. The image is processed on a server using a generative neural network pre-trained to apply stylizations based on the selected effect. The server sends back the stylized image to the mobile application for display. The end-user can then save the stylized image or generate a video (e.g., an animation) showing the original image transition to the stylized image. The user interface provides an efficient creative workflow to apply aesthetic enhancements in a visual style chosen by the end-user. Generative machine learning techniques automate stylization to enable accessible media customization and sharing.
    Type: Application
    Filed: November 9, 2023
    Publication date: December 12, 2024
    Inventors: Sergey Smetanin, Pavel Savchenkov, Viktar Atliha, Georgii Grigorev, Ivan Babanin, Prasad Tare, Inna Zaitseva, Anna Kovalenko, Dmytro Rudenko